Moises Rodriguez

P Erie SeaWolves

Age 25 RHP 6'2" / 170 lbs AA

Overview

AAPROSPECTFG #915

ETA2028FG ETA2027MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	18	25	8.64	4.62	21.7%	14.2%	—	K 14.2% · BB 18.2% · FIP 6.40
2025	23	MIX2 levels	46	63	2.84	1.87	24.4%	6.2%	—	K 18.3% · BB 7.3% · FIP 2.48
2026	24	MIX2 levels	34	49	2.57	3.63	20.5%	11.5%	—	K 17.4% · BB 12.2% · FIP 4.32
2027PROJ	25	MLBDET	57	60	4.67	4.67	19.5%	10.8%	-0.1
2028PROJ44% MLB	26	MLBDET	25	26	4.59	4.56	20.7%	10.6%	-0.0
2029PROJ63% MLB	27	MLBDET	35	37	4.57	4.58	20.9%	10.6%	-0.0

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff55Command45FB velo60

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 96%

CompsVinnie Chulk (age 25) · Barrett Loseke (age 25) · Austin Ross (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.67

FIP4.67

K%19.5%

BB%10.8%

K-BB%8.6%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF4555

CMD3545

K†4550

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2027 so far)
2021	19	ROK MLE	FCL Tigers West	9	0	12	67	9	11	1	0%	1.4	9.1%	20.5%	-11.4%	2.3%	5.84	6.19	—
2021	19	ROK RAW	FCL Tigers West	9	0	12	67	9	11	1	0%	1.4	13.4%	16.4%	-3.0%	1.5%	5.84	5.37	—
2022	20	ROK MLE	DSL Tigers 1	13	0	21	89	12	15	1	0%	1.6	9.2%	21.1%	-11.9%	1.6%	4.22	5.86	—
2022	20	ROK RAW	DSL Tigers 1	13	0	21	89	12	15	1	0%	1.6	13.5%	16.9%	-3.4%	1.1%	4.22	4.69	—
2023	21	ROK MLE	DSL Tigers 1	12	11	43	180	38	18	0	92%	3.6	14.4%	12.5%	1.9%	0.0%	1.90	3.47	—
2023	21	ROK RAW	DSL Tigers 1	12	11	43	180	38	18	0	92%	3.6	21.1%	10.0%	11.1%	0.0%	1.90	2.58	—
2024	22	MIX MLE	2 levels	18	0	25	120	26	17	3	0%	1.4	14.2%	18.2%	-4.0%	4.0%	8.64	6.40	—
2024	22	MIX MLE	2 levels	18	0	25	120	26	17	3	0%	1.4	14.2%	18.2%	-4.0%	4.0%	8.64	6.40	—
2024	22	MIX RAW	2 levels	18	0	25	120	26	17	3	0%	1.4	21.7%	14.2%	7.5%	2.5%	8.64	4.62	—
2025	23	MIX MLE	2 levels	46	0	63	258	63	16	0	0%	1.4	18.3%	7.3%	11.0%	0.0%	2.84	2.48	—
2025	23	MIX MLE	2 levels	46	0	63	258	63	16	0	0%	1.4	18.3%	7.3%	11.0%	0.0%	2.84	2.48	—
2025	23	MIX RAW	2 levels	46	0	63	258	63	16	0	0%	1.4	24.4%	6.2%	18.2%	0.0%	2.84	1.87	—
2026	24	MIX MLE	2 levels	34	0	49	200	41	23	3	0%	1.4	17.4%	12.2%	5.3%	2.1%	2.57	4.32	—
2026	24	MIX MLE	2 levels	34	0	49	200	41	23	3	0%	1.4	17.4%	12.2%	5.3%	2.1%	2.57	4.32	—
2026	24	MIX RAW	2 levels	34	0	49	200	41	23	3	0%	1.4	20.5%	11.5%	9.0%	1.5%	2.57	3.63	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	DET	57	0	60	253	49	27	7	0%	1.1	19.5%	10.8%	8.6%	2.7%	4.67	4.67	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	DET	57	0	60	251	52	27	7	0%	1.0	20.7%	10.6%	10.1%	2.7%	4.59	4.56	-0.0
2029	27	MLB MLE	DET	56	0	59	247	52	26	7	0%	1.0	20.9%	10.6%	10.3%	2.8%	4.57	4.58	-0.0
2028	26	MLB CTX	DET	25	0	26	110	23	12	3	0%	1.0	20.7%	10.6%	10.1%	2.7%	4.59	4.56	-0.0
2029	27	MLB CTX	DET	35	0	37	156	33	17	4	0%	1.1	20.9%	10.6%	10.3%	2.8%	4.57	4.58	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	267	56	28	7	0%	1.1	20.8%	10.6%	10.2%	2.7%	4.58	4.19	+0.3
/ 200 IP	—	RAW		190	0	200	844	177	89	22	0%	1.1	20.8%	10.6%	10.2%	2.7%	4.58	4.19	+0.9
Career	—	MLE		132	11	214	914	139	120	12	8%	1.6	15.2%	13.1%	2.1%	1.3%	3.58	4.19	-0.0
/ 200 IP	—	MLE		124	10	200	856	130	112	11	8%	1.6	15.2%	13.1%	2.1%	1.3%	3.58	4.19	-0.0

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Moises Rodriguez (OGILVIE)	—	—	4.67	19.5%	10.8%	2.7%	—	4.57	20.8%	10.2%	118	-0.10	—	—	—
Vinnie Chulk R 2004 · 4.26 FIP	25	SU	4.26	17.7%	10.5%	2.4%	.308	3.95	16.9%	9.6%	171	-0.31	2.97	271	91
Barrett Loseke R 2022 · 4.42 FIP	25	SU	4.42	21.7%	10.1%	3.4%	.311	5.24	23.5%	12.2%	22	+0.82	4.42	152	89
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	89
Jordan Milbrath R 2017 · 4.05 FIP	25	SU	4.05	19.9%	10.4%	2.4%	.272	3.61	19.6%	9.7%	129	-0.44	3.19	386	88
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	88
Guido Knudson R 2015 · 3.50 FIP	25	SU	3.50	20.7%	11.1%	1.4%	.255	4.69	17.5%	6.7%	47	+1.19	3.50	106	88
Rhiner Cruz R 2012 · 4.80 FIP	25	SU	4.80	18.2%	11.5%	3.2%	.335	4.81	10.2%	-1.0%	21	+0.01	3.21	127	88
Esmerling Vasquez R 2009 · 3.86 FIP	25	SU	3.86	18.9%	11.3%	1.7%	.296	4.30	17.3%	4.7%	116	+0.44	3.70	204	88
Jacob Bosiokovic R 2019 · 3.84 FIP	25	SU	3.84	17.2%	9.8%	1.7%	.289	4.21	24.7%	12.1%	62	+0.37	3.84	181	87
Garrett Apker R 2024 · 4.01 FIP	24	SU	4.01	19.8%	11.2%	2.1%	.288	8.46	15.4%	-7.6%	11	+4.45	4.01	101	87
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	87
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	87
Carlos Fisher R 2009 · 3.90 FIP	26	SU	3.90	21.2%	12.8%	1.8%	.317	3.80	18.2%	8.1%	46	-0.10	2.48	245	87
Chase Plymell R 2023 · 4.23 FIP	25	SU	4.23	19.2%	13.0%	2.0%	.330	4.49	14.0%	6.3%	162	+0.26	3.81	291	87
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	87
Dylan Hall R 2023 · 3.98 FIP	25	SU	3.98	21.0%	13.2%	1.8%	.305	7.24	15.1%	2.4%	58	+3.26	3.47	153	87
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	87
Nolan Riggs R 2018 · 4.49 FIP	25	SU	4.49	20.7%	14.0%	2.5%	.300	—	—	—	—	—	2.36	132	87
Taylor Floyd R 2023 · 4.34 FIP	25	SU	4.34	21.7%	10.8%	3.1%	.331	4.61	18.4%	8.9%	192	+0.27	3.48	359	87
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	86

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	59	20.3%	10.7%	1.05	4.61
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Chris Resop ('13)	1.2	61	18.6%	10.3%	0.85	4.62
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Kevin Quackenbush ('21)	1.0	52	21.0%	9.2%	1.04	4.41
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*